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A research framework for human aspects in the internet of production: an intra-company perspective

  • Digitalization in the production sector aims at transferring concepts and methods from the Internet of Things (IoT) to the industry and is, as a result, currently reshaping the production area. Besides technological progress, changes in work processes and organization are relevant for a successful implementation of the “Internet of Production” (IoP). Focusing on the labor organization and organizational procedures emphasizes to consider intra-company factors such as (user) acceptance, ethical issues, and ergonomics in the context of IoP approaches. In the scope of this paper, a research approach is presented that considers these aspects from an intra-company perspective by conducting studies on the shop floor, control level and management level of companies in the production area. Focused on four central dimensions—governance, organization, capabilities, and interfaces—this contribution presents a research framework that is focused on a systematic integration and consideration of human aspects in the realization of the IoP.

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Author:Brauner Philipp, Florian Sascha Brillowski, Hannah Dammers, Peter Königs, Frauke Carole Kordtomeikel, Henning Petruck, Anne Kathrin Schaar, Seth Schmitz, Linda Steuer-DankertORCiD, Alexander Mertens, Thomas Gries, Carmen Leicht-Scholten, Saskia K. Nagel, Verena Nitsch, Günther Schuh, Martina Ziefle
Parent Title (English):Advances in Manufacturing, Production Management and Process Control: Proceedings of the AHFE 2020 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping, July 16–20, 2020, USA
Place of publication:Cham
Editor:Beata Mrugalska, Stefan Trzcielinski, Waldemar Karwowski, Massimo Di Nicolantonio, Emilio Roossi
Document Type:Conference Proceeding
Year of Completion:2020
Date of the Publication (Server):2022/09/22
Tag:Acceptance; Digitalization; Ethics; Human factors; Human-robot collaboration
First Page:3
Last Page:17
Link: https://link.springer.com/chapter/10.1007/978-3-030-51981-0_1
Institutes:FH Aachen / Fachbereich Energietechnik